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AdipoCount: A New Software for Automatic Adipocyte Counting
Obesity has spread worldwide and become a common health problem in modern society. One typical feature of obesity is the excessive accumulation of fat in adipocytes, which occurs through the following two physiological phenomena: hyperplasia (increase in quantity) and hypertrophy (increase in size)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826178/ https://www.ncbi.nlm.nih.gov/pubmed/29515452 http://dx.doi.org/10.3389/fphys.2018.00085 |
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author | Zhi, Xuhao Wang, Jiqiu Lu, Peng Jia, Jue Shen, Hong-Bin Ning, Guang |
author_facet | Zhi, Xuhao Wang, Jiqiu Lu, Peng Jia, Jue Shen, Hong-Bin Ning, Guang |
author_sort | Zhi, Xuhao |
collection | PubMed |
description | Obesity has spread worldwide and become a common health problem in modern society. One typical feature of obesity is the excessive accumulation of fat in adipocytes, which occurs through the following two physiological phenomena: hyperplasia (increase in quantity) and hypertrophy (increase in size) of adipocytes. In clinical and scientific research, the accurate quantification of the number and diameter of adipocytes is necessary for assessing obesity. In this study, we present a new automatic adipocyte counting system, AdipoCount, which is based on image processing algorithms. Comparing with other existing adipocyte counting tools, AdipoCount is more accurate and supports further manual correction. AdipoCount counts adipose cells by the following three-step process: (1) It detects the image edges, which are used to segment the membrane of adipose cells; (2) It uses a watershed-based algorithm to re-segment the missing dyed membrane; and (3) It applies a domain connectivity analysis to count the cells. The outputs of this system are the labels and the statistical data of all adipose cells in the image. The AdipoCount software is freely available for academic use at: http://www.csbio.sjtu.edu.cn/bioinf/AdipoCount/. |
format | Online Article Text |
id | pubmed-5826178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58261782018-03-07 AdipoCount: A New Software for Automatic Adipocyte Counting Zhi, Xuhao Wang, Jiqiu Lu, Peng Jia, Jue Shen, Hong-Bin Ning, Guang Front Physiol Physiology Obesity has spread worldwide and become a common health problem in modern society. One typical feature of obesity is the excessive accumulation of fat in adipocytes, which occurs through the following two physiological phenomena: hyperplasia (increase in quantity) and hypertrophy (increase in size) of adipocytes. In clinical and scientific research, the accurate quantification of the number and diameter of adipocytes is necessary for assessing obesity. In this study, we present a new automatic adipocyte counting system, AdipoCount, which is based on image processing algorithms. Comparing with other existing adipocyte counting tools, AdipoCount is more accurate and supports further manual correction. AdipoCount counts adipose cells by the following three-step process: (1) It detects the image edges, which are used to segment the membrane of adipose cells; (2) It uses a watershed-based algorithm to re-segment the missing dyed membrane; and (3) It applies a domain connectivity analysis to count the cells. The outputs of this system are the labels and the statistical data of all adipose cells in the image. The AdipoCount software is freely available for academic use at: http://www.csbio.sjtu.edu.cn/bioinf/AdipoCount/. Frontiers Media S.A. 2018-02-20 /pmc/articles/PMC5826178/ /pubmed/29515452 http://dx.doi.org/10.3389/fphys.2018.00085 Text en Copyright © 2018 Zhi, Wang, Lu, Jia, Shen and Ning. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Zhi, Xuhao Wang, Jiqiu Lu, Peng Jia, Jue Shen, Hong-Bin Ning, Guang AdipoCount: A New Software for Automatic Adipocyte Counting |
title | AdipoCount: A New Software for Automatic Adipocyte Counting |
title_full | AdipoCount: A New Software for Automatic Adipocyte Counting |
title_fullStr | AdipoCount: A New Software for Automatic Adipocyte Counting |
title_full_unstemmed | AdipoCount: A New Software for Automatic Adipocyte Counting |
title_short | AdipoCount: A New Software for Automatic Adipocyte Counting |
title_sort | adipocount: a new software for automatic adipocyte counting |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826178/ https://www.ncbi.nlm.nih.gov/pubmed/29515452 http://dx.doi.org/10.3389/fphys.2018.00085 |
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